Dynamics Loads Assessment of Lift-Cruise configurations using Mid-Fidelity Tools

The research aims to develop a multidisciplinary approach for the dynamic load analysis of
aircraft with complex aircraft propulsion system configurations which captures the mutual
interference between structural dynamics, aerodynamics, and flight mechanics. The accurate
determination of critical load cases and acting maximum loads is essential to avoid structural
failure and allows for a reduction of safety margins. This leads to a reduction in aircraft
structural weight and thus helps to meet the demand for safe and fuel-efficient aircraft. In the
frame of this study, a methodology will be developed which allows for investigating conventional
and unconventional configurations of aircraft, including eVTOLs for different flight phases. The
main objective is to facilitate fast and accurate load prediction for novel configurations in order to
improve performance and safety, as well as to support the multidisciplinary optimization of novel
aircraft concepts. The results will provide insights into critical load conditions and help to
develop comprehensive tools for simulating and analysing the dynamic loads and response of
aircraft structures during different flight phases including transition.
The methodology necessitates the need for a comprehensive which fuses the
multidisciplinary subjects of the structural dynamics, aerodynamics and flight mechanics of
mixed fidelity incorporating the different flight phases, like transition and hover, for different
configurations of the novel propulsion systems in a fast and efficient way.

Publications

Reference

FH Aachen-DC2

Researcher

Ridhima Kaul

Research Host

FH Aachen University of Applied Sciences (FH Aachen)

PhD awarding institution/s

FH Aachen University of Applied Sciences (FH Aachen) & RMIT University

Location

Aachen (Germany)

Publications

RMIT and many of the REDI partners are HSR4R certified
europe-1-1.svg

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101034328.

Results reflect the author’s view only. The European Commission is not responsible for any use that may be made of the information it contains